Image Processing Apparatus Motion Vector Detection Panning Assist
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Solution Overview
Problem
Existing image processing techniques for panning photography face challenges in accurately detecting motion vectors due to differences in subject movement speed and panning speed, particularly when the sampling interval of continuously photographed images increases, leading to insufficient real-time processing and reduced detection accuracy.
Innovation Solution
An image processing apparatus that includes an acquisition unit for capturing first and second images, a determination unit for selecting images based on photometry results, and a calculation unit for calculating motion vectors, utilizing high-resolution images and prioritizing either resolution or sampling rate to enhance motion vector detection accuracy during panning assist modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the sampling interval of continuously photographed images is increased, then the processing time for motion vector detection is reduced, but the detection accuracy deteriorates
Solution Approach 1:
The patent applies preliminary action by performing photometry in advance on captured images to evaluate their quality before motion vector detection. This allows the system to pre-select suitable images based on exposure and quality metrics, ensuring that only high-quality images are used for detection, thereby maintaining accuracy while optimizing processing efficiency.
Solution Approach 2:
The patent implements dynamics by adaptively selecting images for motion vector detection based on photometry results. The system dynamically adjusts which images are used for detection according to their quality assessment, rather than using a fixed sampling interval. This dynamic selection ensures optimal balance between processing speed and detection accuracy varying with scene conditions.
2Measurement precision
If the comparison area between reference block and candidate block is enlarged, then the detection accuracy is improved, but the processing time is prolonged
Solution Approach 1:
The patent applies local quality by performing photometry on specific regions of interest within images rather than processing entire images uniformly. By evaluating image quality locally and selecting regions with better quality for motion vector detection, the system improves detection accuracy in critical areas while reducing overall processing time by excluding poor-quality regions.
3Measurement precision
If high-resolution images are used for motion vector detection, then the detection accuracy is improved, but the processing load increases
Solution Approach 1:
The patent extracts essential quality information through photometry measurements taken from captured images before full motion vector detection. By extracting and evaluating key quality metrics (exposure, brightness) in advance, the system can select appropriate images for detection without processing all high-resolution images, thereby reducing processing complexity while maintaining detection accuracy using only suitable high-resolution images.
Data Source
AI summary
An accelerated processing unit (APU) serving as an image processing apparatus includes an acquisition unit configured to acquire a first image captured through first imaging and a second image captured through second imaging performed subsequent to the first imaging; a first determination unit configured to determine an image used for calculating a motion vector from the first image and/or the second image in accordance with a result of photometry based on the first image; and a calculation unit configured to calculate the motion vector on the basis of the determined image.